I want to create a column based on part of a string within another column.
The reference column follows the general format of: GB / Ling 31st Dec
I want to extract the word "Ling" in this case and is of varying lengths.
My approach so far has been:
library(data.table)
d1 <- data.table(MENU_HINT =
c("GB / Ling 31st Dec", "GB / Taun 30th Dec",
"GB / Ayr 19th Dec", "GB / Ayr 9th Nov",
"GB / ChelmC 29th Sep"),
Track = c("Ling", "Taun", "Ayr", "Ayr", "ChelmC"))
#remove all the spaces
d1[, Track2 := gsub("[[:space:]]", "", MENU_HINT)]
# get the position of the first digit
d1[, x := as.numeric(regexpr("[[:digit:]]", Track2)[[1]])]
# get the position of the '/'
d1[, y := as.numeric(regexpr("/", Track2))[[1]]]
# use above to extract the Track
d1[, Track2 := substr(Track2, y + 1, x - 1)]
Track is what I expect to get and Track2 is what I get from my code above.
This seems long winded and also doesn't seem to work because the x and y values are the same throughout the entire column.
I wouldn't use regex for this- it won't be efficient for a big data set. It seems like the word you looking for is always located after the second space. A very simple and efficient solution could be
d1[, Track2 := tstrsplit(MENU_HINT, " ", fixed = TRUE)[[3]]]
Benchmark
bigDT <- data.table(MENU_HINT = sample(d1$MENU_HINT, 1e6, replace = TRUE))
microbenchmark::microbenchmark("sub: " = sub("\\S+[[:punct:] ]+(\\S+).*", "\\1", bigDT$MENU_HINT),
"gsub: " = gsub("^[^/]+/\\s*|\\s+.*$", "", bigDT$MENU_HINT),
"tstrsplit: " = tstrsplit(bigDT$MENU_HINT, " ", fixed = TRUE)[[3]])
# Unit: milliseconds
# expr min lq mean median uq max neval
# sub: 982.1185 998.6264 1058.1576 1025.8775 1083.1613 1405.051 100
# gsub: 1236.9453 1262.6014 1320.4436 1305.6711 1339.2879 1766.027 100
# tstrsplit: 385.4785 452.6476 498.8681 470.8281 537.5499 1044.691 100
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